v1.2 - R cross-validated (March 2026)

This is the v1.2 release of the reproducible Python code and data for: The Impact of GLP-1 and Dual GIP/GLP-1 Receptor Agonists on Lean Body Mass(A Systematic Review and Meta-Analysis of Phase 3/3b RCTs) Submitted to Diabetes, Obesity and Metabolism (2026). Manuscript ID: DOM-26-1453-OP. v1.2 changes (from v1.1):- Prediction intervals corrected from z-approximation to t-distribution (df=k-2), consistent with R metafor predict()- R cross-validation scripts: corrected stale hardcoded reference values carried over from earlier iterations (Peters' t/p, Begg's tau/p, profile likelihood tau2 CI, RVE df)- Fat mass R script: corrected hardcoded lean MD constants used in ratio calculation (-1.94, -3.05, -1.20)- Figure 1 regenerated with t-based PI annotation [-5.66; 1.77] Contains:- All analysis scripts (DL, HKSJ, Bayesian grid integration, RVE, three-level model)- R cross-validation scripts (metafor, clubSandwich)- Raw data (meta_analysis_data_v5.csv)- All generated figures- run_all.py Permanent Zenodo archive will be linked automatically.